Tuesday, February 8, 2022
Roughly 60% of stream processing is spent doing mundane transformation tasks like format unification for ML workloads, filtering for privacy, simple enrichments like geo-ip translations, etc.
In this session, we will show you how easy it can be to do streaming data transformations while also eliminating data ping-ponging between storage and compute — thanks to Redpanda’s built-in support for WebAssembly (WASM). We’ll share best practices for data transforms using Redpanda, our Kafka API-compatible streaming data platform.
We will also cover:
- Overview of Redpanda and our WASM architecture
- Example use cases for data transforms
- Live demo of data transforms